I am a junior at Rutgers University majoring in Computer Science and Cognitive Science. I’m really interested in research and debating questions about how minds work. Artificial intelligence research piques my interest. So, this summer, I joined the Humans to Robots Laboratory through the Brown Computer Science Artificial Intelligence & Computational Creativity Research Experience for Undergraduates (REU) Site. I felt so welcomed. Everyone at Brown, from the professors to the staff members to the grad students and undergrads, were very supportive. The program gave me a peek into the exciting life of a full-time researcher in computer science. Every day …
In February 2023, Brown CS faculty member Yu Cheng brought four teams of students to the International Collegiate Programming Contest (ICPC)’s Northeast North America (NENA) Regional Contest at the College of the Holy Cross site. Their story is told
here. Below, one of the students from the team that advanced to the national level shares his experience of that event.
Have you ever found yourself anxiously waiting for a response, unsure of what the other person is typing? The absence of immediate feedback, tone, facial expressions, and other non-verbal cues can sometimes hinder effective text-based communication. Hence, despite the convenient nature of messaging platforms, there has been a rising anxiousness around the ... or Zainab is typing . This anxiousness can be attributed to the low richness associated with messaging.
In a forthcoming paper that has received the ACM ASIA Conference on Computer and Communications Security (AsiaCCS 2023)’s Distinguished Paper Award, researchers at Brown and collaborators at Aarno Labs, FORTH, and TUC developed a new system that can automatically protect against these native library threats while requiring minimal developer effort. The system, called BinWrap, combines protections of both the native portion of a library and its language-specific wrapper.
In the wake of her graduation from Brown, Sharon Caraballo, now known as Sharon Adamus, set foot on a tenure-track path in computer science at Georgetown University, anticipating her career to be a traditional one dedicated to teaching and research.
Microservices have been transforming the computing landscape with web-scale infrastructures like Facebook, Google, Amazon, and telecom infrastructures like AT&T and Ericsson adopting them. The microservices paradigm has proven to promote better scalability, fault tolerance, and deployability. However, it also significantly increases the space of configuration options and performance problems, rendering traditional approaches to management ineffective.
Deep Learning (DL) is a rapidly growing field that has found a set of wide-ranging applications across various industries, such as transportation, banking and finance, healthcare, and more. As the use of DL becomes more widespread, DL frameworks, such as TensorFlow and PyTorch, have, in turn, become increasingly popular, and are being used to build models that are applied even in security-critical settings. Thus, with their increasing popularity, the importance of keeping these frameworks secure has become crucial.
Until the things that interest you really become yours, says Brown CS alum Edwina Rissland, you’re not very deep into them. Over an eclectic career spanning more than five decades, she’s dug well below the surface as a computer scientist, mathematician, legal scholar, musician, artist, photographer, and teacher. A true student of the world, her boundless love of learning has allowed her to master and connect fields often considered distinct or even unrelated.
Last year, Brown CS alum Ed Lazowska received a surprise for his birthday: a fund supporting multiple endowed professorships, named in his honor, to commemorate his extensive contributions as a professor of computer science at the University of Washington. Launched by friends at Microsoft and Google and supported by more than 100 others, the professorship fund is a testament to Ed’s long-standing work in promoting computer science research and education over his long career.
Last summer, I interned at Brown University’s Data Science Initiative (DSI) with Professor Ritambhara Singh. The work I was doing, in computational genetics, was fascinating. And the office space was modern and light-filled. But most importantly, the lab was filled with welcoming grad students and amazing professors who worked right next to me.
